Senior Data Scientist

Senior Data Scientist R26_0019273|CO Avenida Calle 100 No. 9A-45, Bogota, Colombia Employees work in a hybrid mode #LI- Hybrid Company Description NIQ, the world’s leading consumer intelligence company, reveals new pathways to growth for retailers and consumer goods manufacturers. With operations in more than 100 countries, NIQ delivers the most complete and clear understanding of consumer buying behavior through an advanced business intelligence platform with integrated predictive analytics. NIQ delivers the Full View.  NIQ was founded in 1923 and is an Advent International portfolio company. For more information, visit NIQ.com  We are looking for a hands-on Senior Data Scientist who enjoys working with large-scale consumer and retail datasets to solve complex measurement and analytics challenges. This role focuses on data quality, statistical methodologies, sampling approaches, and data pipeline validation , helping ensure the accuracy and reliability of products that support key business decisions. You will work closely with data science, technology, and product teams to investigate data issues, design analytical approaches, validate outputs, and improve processes across cloud-based data platforms. This is not a traditional AI/ML modeling role . Instead, it is ideal for someone who enjoys working with complex, disaggregated datasets, applying statistical rigor, and building scalable solutions that directly impact consumer insights and product development. If you are energized by solving ambiguous analytical problems, improving data reliability, and translating complex findings into actionable recommendations, this role is for you. What You’ll Do Work hands‑on with  large‑scale consumer and behavioral datasets , supporting measurement products used across North America Evaluate existing  data preparation, validation, and projection methodologies , identifying opportunities for improvement Design and prototype  new statistical or data‑driven approaches  to address evolving market and measurement challenges Develop  end‑to‑end quality, validation, and performance indicators  tied directly to product accuracy and reliability Partner with Product, Engineering, and global Data Science teams to  support production deployment  of new solutions Investigate data issues, perform root‑cause analysis, and recommend corrective actions Clearly  summarize findings and recommendations  for technical and non‑technical stakeholders Maintain clear documentation of methodologies, assumptions, and best practices What We’re Looking For (Must‑Have) 3–6 years of experience  in a Data Scientist, Statistical Analyst, or similar hands‑on analytics role Strong foundation in  statistics, mathematics, econometrics, or data science Advanced proficiency in  Python  (data manipulation, validation, analysis — not just modeling) Strong working knowledge of  SQL  and experience querying large, complex datasets Experience with  data cleaning, validation, aggregation, and quality control  at scale Hands‑on experience in  cloud environments , ideally  Azure and Databricks Experience working with  version control  (Git) Ability to explain technical concepts clearly and work independently with minimal supervision Nice to Have  Experience with  consumer, retail, CPG, panel, survey, or transactional data Exposure to  projection methods, weighting, sampling, or measurement frameworks Experience supporting  product development or data products Background in  economics, statistics, or applied research Familiarity with Spark / PySpark Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on:  LinkedIn  |  Instagram  |  Twitter  |  Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws